Data Science II: Advanced Analytics and AI

BASc, Information Technology Infrastructure, University of Minnesota

Ian-Mathew's work focuses on the development of resilient big data infrastructure, large-scale data engineering, and its application in data science. His expertise includes infrastructure, software engineering, and risk management in the finance and retail sectors. He has also served as an enterprise technical manager of open-source software and platforms used for data science and analysis. Ian-Mathew values building effective engineering cultures in teams and foregrounding ethical considerations in the development and deployment of technology. He also has more than a decade of small-team leadership experience as a veteran of the US Army and is an active contributor to initiatives to make tech more inclusive and accessible for all.

• INET 2001 – Fundamentals of IT
• INET 4061 – Data Science I: Machine Learning Essentials
• INET 4062 – Data Science II: Advanced Analytics and AI
• INET 4707 – Introduction to Databases

MBA with emphasis in operations management and finance, University of Pittsburgh, Katz Graduate School of Business; BS, physics, University of Pittsburgh

Eric DeClouet is a seasoned IT professional with a diverse background and over two decades of experience leading IT initiatives across many sectors (retail, financial services, healthcare, manufacturing, and consulting) and leadership roles at companies like Medtronic, 3M, BestBuy, Ameriprise, Allianz, Inovalon, and UnitedHealth. With broad technical expertise (portfolio management, enterprise architecture, data management, integration, virtualization) and business acumen (finance, manufacturing, logistics, healthcare). Eric is adept at "teaching through analogy," i.e., tackling the challenge of embracing the new by using analogies to what's familiar in the learner's background.

• INET 3350 – Special Topics in IT Infrastructure (AI Prompt Engineering)
• INET 4062 – Data Science II: Advanced Analytics and AI

DBA, information systems management, Walden University; MSIT in business intelligence and analytics, MBA in accounting, and BSIT in database management, Purdue University Global; BASc., management and supervision, Broward College

Dr. Idahosa has taught at Miami Dade College, Keiser University, Washington State University, Seattle Colleges and Capella University, among others, in the areas of management information systems, business analytics, cybersecurity, data analytics and software development. His research agenda centers on the adoption, governance and effectiveness of emerging technologies, particularly artificial intelligence, cybersecurity frameworks and data analytics, as well as strengthening organizational decision-making, security posture and operational performance. His peer-reviewed doctoral research and ongoing scholarly work contribute to applied and practice-oriented conversations in information systems and technology management. His teaching philosophy emphasizes experiential learning, real-world case analysis, project-based instruction and technology-enhanced pedagogy, ensuring strong alignment with workforce readiness, accreditation expectations and institutional learning outcomes.

• INET 4007 – Security II: Cloud Security and Strategy
• INET 4062 – Data Science II: Advanced Analytics and AI
• INET 4082W – IT Infrastructure Projects and Processes

MS, data science, Eastern University; MA, religion, Liberty University; BBA, management information systems, Howard University

Colin Miller brings a wealth of experience from both academia and the corporate world. With over 25 years in IT leadership positions, Colin has contributed significantly to corporations like UCare, Xcel Energy, Cargill, AT&T, General Mills, Pactiv Evergreen Inc., and Kraft Heinz. His academic tenure includes serving as director of the School of Technology and associate professor at North Central University in Minneapolis, where he combined his industry expertise with a passion for teaching and curriculum development. Specializing in business intelligence and data analytics, Colin is committed to mentoring the next generation of IT professionals at CCAPS, leveraging his extensive background and dedication to community service to enrich the educational experience.

• INET 2001 – Fundamentals of IT
• INET 2002 – Algorithms and Data Structures for ITI Professionals
• INET 4062 – Data Science II: Advanced Analytics and AI
• INET 4707 – Introduction to Databases